Overview

Dataset statistics

Number of variables188
Number of observations5
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory1.5 KiB

Variable types

Categorical188

Alerts

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4.132231324911117554e-02 is highly correlated with 1.000000000000000000e+00 and 113 other fieldsHigh correlation
1.239669416099786758e-02.1 is highly correlated with 1.000000000000000000e+00 and 113 other fieldsHigh correlation
8.677686005830764771e-02.2 is highly correlated with 1.000000000000000000e+00 and 113 other fieldsHigh correlation
6.611569970846176147e-02.1 is highly correlated with 1.000000000000000000e+00 and 113 other fieldsHigh correlation
6.611569970846176147e-02.2 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
5.165289342403411865e-02.1 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
3.925620019435882568e-02.1 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
4.338843002915382385e-02.1 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
3.305784985423088074e-02 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
4.132231324911117554e-02.1 is highly correlated with 1.000000000000000000e+00 and 108 other fieldsHigh correlation
7.582644820213317871e-01 is uniformly distributed Uniform
1.115702465176582336e-01 is uniformly distributed Uniform
0.000000000000000000e+00 is uniformly distributed Uniform
8.057851344347000122e-02 is uniformly distributed Uniform
7.851240038871765137e-02 is uniformly distributed Uniform
6.611569970846176147e-02 is uniformly distributed Uniform
4.958677664399147034e-02 is uniformly distributed Uniform
4.752065986394882202e-02 is uniformly distributed Uniform
3.512396663427352905e-02 is uniformly distributed Uniform
3.099173493683338165e-02 is uniformly distributed Uniform
2.892562001943588257e-02 is uniformly distributed Uniform
3.512396663427352905e-02.1 is uniformly distributed Uniform
2.685950323939323425e-02 is uniformly distributed Uniform
3.925620019435882568e-02 is uniformly distributed Uniform
3.512396663427352905e-02.2 is uniformly distributed Uniform
4.338843002915382385e-02 is uniformly distributed Uniform
4.752065986394882202e-02.1 is uniformly distributed Uniform
5.371900647878646851e-02 is uniformly distributed Uniform
5.371900647878646851e-02.1 is uniformly distributed Uniform
7.024793326854705811e-02 is uniformly distributed Uniform
7.231404632329940796e-02 is uniformly distributed Uniform
8.471074700355529785e-02 is uniformly distributed Uniform
9.710744023323059082e-02 is uniformly distributed Uniform
1.219008266925811768e-01 is uniformly distributed Uniform
1.322313994169235229e-01 is uniformly distributed Uniform
1.694214940071105957e-01 is uniformly distributed Uniform
1.962809860706329346e-01 is uniformly distributed Uniform
2.148760259151458740e-01 is uniformly distributed Uniform
2.355371862649917603e-01 is uniformly distributed Uniform
2.541322410106658936e-01 is uniformly distributed Uniform
2.644627988338470459e-01 is uniformly distributed Uniform
2.851239740848541260e-01 is uniformly distributed Uniform
2.727272808551788330e-01 is uniformly distributed Uniform
2.665289342403411865e-01 is uniformly distributed Uniform
2.396694272756576538e-01 is uniformly distributed Uniform
2.148760259151458740e-01.1 is uniformly distributed Uniform
1.735537201166152954e-01 is uniformly distributed Uniform
1.570248007774353027e-01 is uniformly distributed Uniform
1.239669397473335266e-01 is uniformly distributed Uniform
1.219008266925811768e-01.1 is uniformly distributed Uniform
1.074380129575729370e-01 is uniformly distributed Uniform
1.053718999028205872e-01 is uniformly distributed Uniform
9.710744023323059082e-02.1 is uniformly distributed Uniform
1.053718999028205872e-01.1 is uniformly distributed Uniform
9.917355328798294067e-02 is uniformly distributed Uniform
1.053718999028205872e-01.2 is uniformly distributed Uniform
9.917355328798294067e-02.1 is uniformly distributed Uniform
1.074380129575729370e-01.1 is uniformly distributed Uniform
1.074380129575729370e-01.2 is uniformly distributed Uniform
1.157024800777435303e-01 is uniformly distributed Uniform
1.115702465176582336e-01.1 is uniformly distributed Uniform
1.219008266925811768e-01.2 is uniformly distributed Uniform
1.115702465176582336e-01.2 is uniformly distributed Uniform
1.198347136378288269e-01 is uniformly distributed Uniform
1.115702465176582336e-01.3 is uniformly distributed Uniform
1.136363670229911804e-01 is uniformly distributed Uniform
1.115702465176582336e-01.4 is uniformly distributed Uniform
1.219008266925811768e-01.3 is uniformly distributed Uniform
1.053718999028205872e-01.3 is uniformly distributed Uniform
1.074380129575729370e-01.3 is uniformly distributed Uniform
1.012396663427352905e-01 is uniformly distributed Uniform
1.012396663427352905e-01.1 is uniformly distributed Uniform
8.677686005830764771e-02 is uniformly distributed Uniform
9.297520667314529419e-02 is uniformly distributed Uniform
8.471074700355529785e-02.1 is uniformly distributed Uniform
8.264462649822235107e-02 is uniformly distributed Uniform
7.851240038871765137e-02.1 is uniformly distributed Uniform
7.851240038871765137e-02.2 is uniformly distributed Uniform
7.024793326854705811e-02.1 is uniformly distributed Uniform
7.644627988338470459e-02 is uniformly distributed Uniform
6.818182021379470825e-02 is uniformly distributed Uniform
7.851240038871765137e-02.3 is uniformly distributed Uniform
7.024793326854705811e-02.2 is uniformly distributed Uniform
6.818182021379470825e-02.1 is uniformly distributed Uniform
6.818182021379470825e-02.2 is uniformly distributed Uniform
7.438016682863235474e-02 is uniformly distributed Uniform
7.231404632329940796e-02.1 is uniformly distributed Uniform
9.090909361839294434e-02 is uniformly distributed Uniform
1.012396663427352905e-01.2 is uniformly distributed Uniform
1.074380129575729370e-01.4 is uniformly distributed Uniform
1.053718999028205872e-01.4 is uniformly distributed Uniform
1.219008266925811768e-01.4 is uniformly distributed Uniform
1.157024800777435303e-01.1 is uniformly distributed Uniform
1.095041334629058838e-01 is uniformly distributed Uniform
9.710744023323059082e-02.2 is uniformly distributed Uniform
1.033057868480682373e-01 is uniformly distributed Uniform
9.710744023323059082e-02.3 is uniformly distributed Uniform
8.677686005830764771e-02.1 is uniformly distributed Uniform
7.231404632329940796e-02.2 is uniformly distributed Uniform
7.024793326854705811e-02.3 is uniformly distributed Uniform
5.371900647878646851e-02.2 is uniformly distributed Uniform
5.785124003887176514e-02 is uniformly distributed Uniform
4.958677664399147034e-02.1 is uniformly distributed Uniform
5.785124003887176514e-02.1 is uniformly distributed Uniform
5.165289342403411865e-02 is uniformly distributed Uniform
5.578512325882911682e-02 is uniformly distributed Uniform
5.371900647878646851e-02.3 is uniformly distributed Uniform
5.371900647878646851e-02.4 is uniformly distributed Uniform
0.000000000000000000e+00.1 is uniformly distributed Uniform
1.239669416099786758e-02 is uniformly distributed Uniform
1.880165338516235352e-01 is uniformly distributed Uniform
6.818181872367858887e-01 is uniformly distributed Uniform
9.752066135406494141e-01 is uniformly distributed Uniform
6.157024502754211426e-01 is uniformly distributed Uniform
7.582644820213317871e-01 has unique values Unique
1.115702465176582336e-01 has unique values Unique
0.000000000000000000e+00 has unique values Unique
8.057851344347000122e-02 has unique values Unique
7.851240038871765137e-02 has unique values Unique
6.611569970846176147e-02 has unique values Unique
4.958677664399147034e-02 has unique values Unique
4.752065986394882202e-02 has unique values Unique
3.512396663427352905e-02 has unique values Unique
3.099173493683338165e-02 has unique values Unique
2.892562001943588257e-02 has unique values Unique
3.512396663427352905e-02.1 has unique values Unique
2.685950323939323425e-02 has unique values Unique
3.925620019435882568e-02 has unique values Unique
3.512396663427352905e-02.2 has unique values Unique
4.338843002915382385e-02 has unique values Unique
4.752065986394882202e-02.1 has unique values Unique
5.371900647878646851e-02 has unique values Unique
5.371900647878646851e-02.1 has unique values Unique
7.024793326854705811e-02 has unique values Unique
7.231404632329940796e-02 has unique values Unique
8.471074700355529785e-02 has unique values Unique
9.710744023323059082e-02 has unique values Unique
1.219008266925811768e-01 has unique values Unique
1.322313994169235229e-01 has unique values Unique
1.694214940071105957e-01 has unique values Unique
1.962809860706329346e-01 has unique values Unique
2.148760259151458740e-01 has unique values Unique
2.355371862649917603e-01 has unique values Unique
2.541322410106658936e-01 has unique values Unique
2.644627988338470459e-01 has unique values Unique
2.851239740848541260e-01 has unique values Unique
2.727272808551788330e-01 has unique values Unique
2.665289342403411865e-01 has unique values Unique
2.396694272756576538e-01 has unique values Unique
2.148760259151458740e-01.1 has unique values Unique
1.735537201166152954e-01 has unique values Unique
1.570248007774353027e-01 has unique values Unique
1.239669397473335266e-01 has unique values Unique
1.219008266925811768e-01.1 has unique values Unique
1.074380129575729370e-01 has unique values Unique
1.053718999028205872e-01 has unique values Unique
9.710744023323059082e-02.1 has unique values Unique
1.053718999028205872e-01.1 has unique values Unique
9.917355328798294067e-02 has unique values Unique
1.053718999028205872e-01.2 has unique values Unique
9.917355328798294067e-02.1 has unique values Unique
1.074380129575729370e-01.1 has unique values Unique
1.074380129575729370e-01.2 has unique values Unique
1.157024800777435303e-01 has unique values Unique
1.115702465176582336e-01.1 has unique values Unique
1.219008266925811768e-01.2 has unique values Unique
1.115702465176582336e-01.2 has unique values Unique
1.198347136378288269e-01 has unique values Unique
1.115702465176582336e-01.3 has unique values Unique
1.136363670229911804e-01 has unique values Unique
1.115702465176582336e-01.4 has unique values Unique
1.219008266925811768e-01.3 has unique values Unique
1.053718999028205872e-01.3 has unique values Unique
1.074380129575729370e-01.3 has unique values Unique
1.012396663427352905e-01 has unique values Unique
1.012396663427352905e-01.1 has unique values Unique
8.677686005830764771e-02 has unique values Unique
9.297520667314529419e-02 has unique values Unique
8.471074700355529785e-02.1 has unique values Unique
8.264462649822235107e-02 has unique values Unique
7.851240038871765137e-02.1 has unique values Unique
7.851240038871765137e-02.2 has unique values Unique
7.024793326854705811e-02.1 has unique values Unique
7.644627988338470459e-02 has unique values Unique
6.818182021379470825e-02 has unique values Unique
7.851240038871765137e-02.3 has unique values Unique
7.024793326854705811e-02.2 has unique values Unique
6.818182021379470825e-02.1 has unique values Unique
6.818182021379470825e-02.2 has unique values Unique
7.438016682863235474e-02 has unique values Unique
7.231404632329940796e-02.1 has unique values Unique
9.090909361839294434e-02 has unique values Unique
1.012396663427352905e-01.2 has unique values Unique
1.074380129575729370e-01.4 has unique values Unique
1.053718999028205872e-01.4 has unique values Unique
1.219008266925811768e-01.4 has unique values Unique
1.157024800777435303e-01.1 has unique values Unique
1.095041334629058838e-01 has unique values Unique
9.710744023323059082e-02.2 has unique values Unique
1.033057868480682373e-01 has unique values Unique
9.710744023323059082e-02.3 has unique values Unique
8.677686005830764771e-02.1 has unique values Unique
7.231404632329940796e-02.2 has unique values Unique
7.024793326854705811e-02.3 has unique values Unique
5.371900647878646851e-02.2 has unique values Unique
5.785124003887176514e-02 has unique values Unique
4.958677664399147034e-02.1 has unique values Unique
5.785124003887176514e-02.1 has unique values Unique
5.165289342403411865e-02 has unique values Unique
5.578512325882911682e-02 has unique values Unique
5.371900647878646851e-02.3 has unique values Unique
5.371900647878646851e-02.4 has unique values Unique
0.000000000000000000e+00.1 has unique values Unique
1.239669416099786758e-02 has unique values Unique
1.880165338516235352e-01 has unique values Unique
6.818181872367858887e-01 has unique values Unique
9.752066135406494141e-01 has unique values Unique
6.157024502754211426e-01 has unique values Unique

Reproduction

Analysis started2022-05-22 16:50:08.282672
Analysis finished2022-05-22 16:51:50.359047
Duration1 minute and 42.08 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

1.000000000000000000e+00
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
1.0
0.9084249138832092
0.730088472366333
0.5704697966575624

Length

Max length18
Median length17
Mean length11.8
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row0.9084249138832092
2nd row0.730088472366333
3rd row1.0
4th row0.5704697966575624
5th row1.0

Common Values

ValueCountFrequency (%)
1.02
40.0%
0.90842491388320921
20.0%
0.7300884723663331
20.0%
0.57046979665756241
20.0%

Length

2022-05-22T18:51:50.427497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:50.473130image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.02
40.0%
0.90842491388320921
20.0%
0.7300884723663331
20.0%
0.57046979665756241
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.582644820213317871e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.7838827967643738
0.21238937973976132
0.9104166626930237
0.3993288576602936
0.9236640930175779

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.7838827967643738
2nd row0.21238937973976132
3rd row0.9104166626930237
4th row0.3993288576602936
5th row0.9236640930175779

Common Values

ValueCountFrequency (%)
0.78388279676437381
20.0%
0.212389379739761321
20.0%
0.91041666269302371
20.0%
0.39932885766029361
20.0%
0.92366409301757791
20.0%

Length

2022-05-22T18:51:51.065325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.121401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.78388279676437381
20.0%
0.212389379739761321
20.0%
0.91041666269302371
20.0%
0.39932885766029361
20.0%
0.92366409301757791
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.115702465176582336e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5311355590820312
0.0
0.6812499761581421
0.23825503885746
0.6564885377883911

Length

Max length18
Median length18
Mean length14.6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5311355590820312
2nd row0.0
3rd row0.6812499761581421
4th row0.23825503885746
5th row0.6564885377883911

Common Values

ValueCountFrequency (%)
0.53113555908203121
20.0%
0.01
20.0%
0.68124997615814211
20.0%
0.238255038857461
20.0%
0.65648853778839111
20.0%

Length

2022-05-22T18:51:51.197785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.256809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.53113555908203121
20.0%
0.01
20.0%
0.68124997615814211
20.0%
0.238255038857461
20.0%
0.65648853778839111
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3626373708248138
0.1194690242409706
0.4729166626930237
0.14765100181102753
0.1959287524223328

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3626373708248138
2nd row0.1194690242409706
3rd row0.4729166626930237
4th row0.14765100181102753
5th row0.1959287524223328

Common Values

ValueCountFrequency (%)
0.36263737082481381
20.0%
0.11946902424097061
20.0%
0.47291666269302371
20.0%
0.147651001811027531
20.0%
0.19592875242233281
20.0%

Length

2022-05-22T18:51:51.436865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.493896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.36263737082481381
20.0%
0.11946902424097061
20.0%
0.47291666269302371
20.0%
0.147651001811027531
20.0%
0.19592875242233281
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.057851344347000122e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.36630037426948553
0.10176990926265717
0.2291666716337204
0.0
0.1119592860341072

Length

Max length19
Median length18
Mean length15.4
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.36630037426948553
2nd row0.10176990926265717
3rd row0.2291666716337204
4th row0.0
5th row0.1119592860341072

Common Values

ValueCountFrequency (%)
0.366300374269485531
20.0%
0.101769909262657171
20.0%
0.22916667163372041
20.0%
0.01
20.0%
0.11195928603410721
20.0%

Length

2022-05-22T18:51:51.570293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.629304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.366300374269485531
20.0%
0.101769909262657171
20.0%
0.22916667163372041
20.0%
0.01
20.0%
0.11195928603410721
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.851240038871765137e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3443223536014557
0.10176990926265717
0.06875000149011612
0.003355704713612795
0.17557251453399658

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3443223536014557
2nd row0.10176990926265717
3rd row0.06875000149011612
4th row0.003355704713612795
5th row0.17557251453399658

Common Values

ValueCountFrequency (%)
0.34432235360145571
20.0%
0.101769909262657171
20.0%
0.068750001490116121
20.0%
0.0033557047136127951
20.0%
0.175572514533996581
20.0%

Length

2022-05-22T18:51:51.703704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.763720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.34432235360145571
20.0%
0.101769909262657171
20.0%
0.068750001490116121
20.0%
0.0033557047136127951
20.0%
0.175572514533996581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.611569970846176147e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3333333432674408
0.11061947047710417
0.0
0.04026845470070839
0.12213740497827529

Length

Max length19
Median length19
Mean length15.6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3333333432674408
2nd row0.11061947047710417
3rd row0.0
4th row0.04026845470070839
5th row0.12213740497827529

Common Values

ValueCountFrequency (%)
0.33333334326744081
20.0%
0.110619470477104171
20.0%
0.01
20.0%
0.040268454700708391
20.0%
0.122137404978275291
20.0%

Length

2022-05-22T18:51:51.839605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:51.897145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.33333334326744081
20.0%
0.110619470477104171
20.0%
0.01
20.0%
0.040268454700708391
20.0%
0.122137404978275291
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.958677664399147034e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3076923191547394
0.12389380484819412
0.004166666883975267
0.08053690940141676
0.05089058354496956

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3076923191547394
2nd row0.12389380484819412
3rd row0.004166666883975267
4th row0.08053690940141676
5th row0.05089058354496956

Common Values

ValueCountFrequency (%)
0.30769231915473941
20.0%
0.123893804848194121
20.0%
0.0041666668839752671
20.0%
0.080536909401416761
20.0%
0.050890583544969561
20.0%

Length

2022-05-22T18:51:51.972040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.031560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.30769231915473941
20.0%
0.123893804848194121
20.0%
0.0041666668839752671
20.0%
0.080536909401416761
20.0%
0.050890583544969561
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.752065986394882202e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2967033088207245
0.11504425108432768
0.014583333395421503
0.07046979665756226
0.03562340885400772

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2967033088207245
2nd row0.11504425108432768
3rd row0.014583333395421503
4th row0.07046979665756226
5th row0.03562340885400772

Common Values

ValueCountFrequency (%)
0.29670330882072451
20.0%
0.115044251084327681
20.0%
0.0145833333954215031
20.0%
0.070469796657562261
20.0%
0.035623408854007721
20.0%

Length

2022-05-22T18:51:52.107447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.168458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.29670330882072451
20.0%
0.115044251084327681
20.0%
0.0145833333954215031
20.0%
0.070469796657562261
20.0%
0.035623408854007721
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.512396663427352905e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.30036631226539606
0.13274335861206055
0.05416666716337204
0.09060402959585187
0.0559796430170536

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.30036631226539606
2nd row0.13274335861206055
3rd row0.05416666716337204
4th row0.09060402959585187
5th row0.0559796430170536

Common Values

ValueCountFrequency (%)
0.300366312265396061
20.0%
0.132743358612060551
20.0%
0.054166667163372041
20.0%
0.090604029595851871
20.0%
0.05597964301705361
20.0%

Length

2022-05-22T18:51:52.241368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.297911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.300366312265396061
20.0%
0.132743358612060551
20.0%
0.054166667163372041
20.0%
0.090604029595851871
20.0%
0.05597964301705361
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.099173493683338165e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3040293157100677
0.10619468986988068
0.10208333283662796
0.08053690940141676
0.040712468326091766

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3040293157100677
2nd row0.10619468986988068
3rd row0.10208333283662796
4th row0.08053690940141676
5th row0.040712468326091766

Common Values

ValueCountFrequency (%)
0.30402931571006771
20.0%
0.106194689869880681
20.0%
0.102083332836627961
20.0%
0.080536909401416761
20.0%
0.0407124683260917661
20.0%

Length

2022-05-22T18:51:52.377740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.438281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.30402931571006771
20.0%
0.106194689869880681
20.0%
0.102083332836627961
20.0%
0.080536909401416761
20.0%
0.0407124683260917661
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.892562001943588257e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3369963467121124
0.14159291982650757
0.12291666865348816
0.10402684658765791
0.040712468326091766

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3369963467121124
2nd row0.14159291982650757
3rd row0.12291666865348816
4th row0.10402684658765791
5th row0.040712468326091766

Common Values

ValueCountFrequency (%)
0.33699634671211241
20.0%
0.141592919826507571
20.0%
0.122916668653488161
20.0%
0.104026846587657911
20.0%
0.0407124683260917661
20.0%

Length

2022-05-22T18:51:52.514167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.573688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.33699634671211241
20.0%
0.141592919826507571
20.0%
0.122916668653488161
20.0%
0.104026846587657911
20.0%
0.0407124683260917661
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.512396663427352905e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3772893846035004
0.12831857800483704
0.15000000596046448
0.09395973384380339
0.05343511328101158

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3772893846035004
2nd row0.12831857800483704
3rd row0.15000000596046448
4th row0.09395973384380339
5th row0.05343511328101158

Common Values

ValueCountFrequency (%)
0.37728938460350041
20.0%
0.128318578004837041
20.0%
0.150000005960464481
20.0%
0.093959733843803391
20.0%
0.053435113281011581
20.0%

Length

2022-05-22T18:51:52.646599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.702151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.37728938460350041
20.0%
0.128318578004837041
20.0%
0.150000005960464481
20.0%
0.093959733843803391
20.0%
0.053435113281011581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.685950323939323425e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3919413983821869
0.1504424810409546
0.16875000298023224
0.11744966357946396
0.04834605753421784

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3919413983821869
2nd row0.1504424810409546
3rd row0.16875000298023224
4th row0.11744966357946396
5th row0.04834605753421784

Common Values

ValueCountFrequency (%)
0.39194139838218691
20.0%
0.15044248104095461
20.0%
0.168750002980232241
20.0%
0.117449663579463961
20.0%
0.048346057534217841
20.0%

Length

2022-05-22T18:51:52.773585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.827137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.39194139838218691
20.0%
0.15044248104095461
20.0%
0.168750002980232241
20.0%
0.117449663579463961
20.0%
0.048346057534217841
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.925620019435882568e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4395604431629181
0.13274335861206055
0.17291666567325592
0.09731543809175491
0.040712468326091766

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4395604431629181
2nd row0.13274335861206055
3rd row0.17291666567325592
4th row0.09731543809175491
5th row0.040712468326091766

Common Values

ValueCountFrequency (%)
0.43956044316291811
20.0%
0.132743358612060551
20.0%
0.172916665673255921
20.0%
0.097315438091754911
20.0%
0.0407124683260917661
20.0%

Length

2022-05-22T18:51:52.903527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:52.965032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.43956044316291811
20.0%
0.132743358612060551
20.0%
0.172916665673255921
20.0%
0.097315438091754911
20.0%
0.0407124683260917661
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.512396663427352905e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.44688645005226135
0.1504424810409546
0.17083333432674408
0.13422818481922147
0.040712468326091766

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.44688645005226135
2nd row0.1504424810409546
3rd row0.17083333432674408
4th row0.13422818481922147
5th row0.040712468326091766

Common Values

ValueCountFrequency (%)
0.446886450052261351
20.0%
0.15044248104095461
20.0%
0.170833334326744081
20.0%
0.134228184819221471
20.0%
0.0407124683260917661
20.0%

Length

2022-05-22T18:51:53.041388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.104379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.446886450052261351
20.0%
0.15044248104095461
20.0%
0.170833334326744081
20.0%
0.134228184819221471
20.0%
0.0407124683260917661
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.338843002915382385e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.45787546038627613
0.13274335861206055
0.16875000298023224
0.12416107207536696
0.04325699806213378

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.45787546038627613
2nd row0.13274335861206055
3rd row0.16875000298023224
4th row0.12416107207536696
5th row0.04325699806213378

Common Values

ValueCountFrequency (%)
0.457875460386276131
20.0%
0.132743358612060551
20.0%
0.168750002980232241
20.0%
0.124161072075366961
20.0%
0.043256998062133781
20.0%

Length

2022-05-22T18:51:53.172856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.224412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.457875460386276131
20.0%
0.132743358612060551
20.0%
0.168750002980232241
20.0%
0.124161072075366961
20.0%
0.043256998062133781
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.752065986394882202e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.479853481054306
0.1504424810409546
0.16458334028720856
0.16107381880283356
0.045801527798175805

Length

Max length20
Median length19
Mean length18.6
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.479853481054306
2nd row0.1504424810409546
3rd row0.16458334028720856
4th row0.16107381880283356
5th row0.045801527798175805

Common Values

ValueCountFrequency (%)
0.4798534810543061
20.0%
0.15044248104095461
20.0%
0.164583340287208561
20.0%
0.161073818802833561
20.0%
0.0458015277981758051
20.0%

Length

2022-05-22T18:51:53.302283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.363292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.4798534810543061
20.0%
0.15044248104095461
20.0%
0.164583340287208561
20.0%
0.161073818802833561
20.0%
0.0458015277981758051
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.371900647878646851e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.512820541858673
0.12389380484819412
0.15625
0.17114093899726868
0.045801527798175805

Length

Max length20
Median length19
Mean length16.4
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.512820541858673
2nd row0.12389380484819412
3rd row0.15625
4th row0.17114093899726868
5th row0.045801527798175805

Common Values

ValueCountFrequency (%)
0.5128205418586731
20.0%
0.123893804848194121
20.0%
0.156251
20.0%
0.171140938997268681
20.0%
0.0458015277981758051
20.0%

Length

2022-05-22T18:51:53.441164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.499692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.5128205418586731
20.0%
0.123893804848194121
20.0%
0.156251
20.0%
0.171140938997268681
20.0%
0.0458015277981758051
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.371900647878646851e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5347985625267029
0.16371680796146393
0.15208333730697632
0.19463087618350983
0.03562340885400772

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5347985625267029
2nd row0.16371680796146393
3rd row0.15208333730697632
4th row0.19463087618350983
5th row0.03562340885400772

Common Values

ValueCountFrequency (%)
0.53479856252670291
20.0%
0.163716807961463931
20.0%
0.152083337306976321
20.0%
0.194630876183509831
20.0%
0.035623408854007721
20.0%

Length

2022-05-22T18:51:53.573596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.631132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.53479856252670291
20.0%
0.163716807961463931
20.0%
0.152083337306976321
20.0%
0.194630876183509831
20.0%
0.035623408854007721
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.024793326854705811e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5860806107521057
0.13716813921928403
0.14791665971279144
0.20469798147678372
0.04834605753421784

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5860806107521057
2nd row0.13716813921928403
3rd row0.14791665971279144
4th row0.20469798147678372
5th row0.04834605753421784

Common Values

ValueCountFrequency (%)
0.58608061075210571
20.0%
0.137168139219284031
20.0%
0.147916659712791441
20.0%
0.204697981476783721
20.0%
0.048346057534217841
20.0%

Length

2022-05-22T18:51:53.706028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:53.895498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.58608061075210571
20.0%
0.137168139219284031
20.0%
0.147916659712791441
20.0%
0.204697981476783721
20.0%
0.048346057534217841
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.231404632329940796e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5860806107521057
0.14159291982650757
0.14791665971279144
0.2617449760437012
0.04834605753421784

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5860806107521057
2nd row0.14159291982650757
3rd row0.14791665971279144
4th row0.2617449760437012
5th row0.04834605753421784

Common Values

ValueCountFrequency (%)
0.58608061075210571
20.0%
0.141592919826507571
20.0%
0.147916659712791441
20.0%
0.26174497604370121
20.0%
0.048346057534217841
20.0%

Length

2022-05-22T18:51:53.971388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.027436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.58608061075210571
20.0%
0.141592919826507571
20.0%
0.147916659712791441
20.0%
0.26174497604370121
20.0%
0.048346057534217841
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.471074700355529785e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.6043956279754639
0.13274335861206055
0.1458333283662796
0.2751677930355072
0.05089058354496956

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.6043956279754639
2nd row0.13274335861206055
3rd row0.1458333283662796
4th row0.2751677930355072
5th row0.05089058354496956

Common Values

ValueCountFrequency (%)
0.60439562797546391
20.0%
0.132743358612060551
20.0%
0.14583332836627961
20.0%
0.27516779303550721
20.0%
0.050890583544969561
20.0%

Length

2022-05-22T18:51:54.099354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.154412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.60439562797546391
20.0%
0.132743358612060551
20.0%
0.14583332836627961
20.0%
0.27516779303550721
20.0%
0.050890583544969561
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.710744023323059082e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.6336996555328369
0.1504424810409546
0.1458333283662796
0.3322147727012634
0.04834605753421784

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.6336996555328369
2nd row0.1504424810409546
3rd row0.1458333283662796
4th row0.3322147727012634
5th row0.04834605753421784

Common Values

ValueCountFrequency (%)
0.63369965553283691
20.0%
0.15044248104095461
20.0%
0.14583332836627961
20.0%
0.33221477270126341
20.0%
0.048346057534217841
20.0%

Length

2022-05-22T18:51:54.228810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.286346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.63369965553283691
20.0%
0.15044248104095461
20.0%
0.14583332836627961
20.0%
0.33221477270126341
20.0%
0.048346057534217841
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.219008266925811768e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.6153846383094788
0.12831857800483704
0.14166666567325592
0.34563758969306946
0.07379134744405745

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.6153846383094788
2nd row0.12831857800483704
3rd row0.14166666567325592
4th row0.34563758969306946
5th row0.07379134744405745

Common Values

ValueCountFrequency (%)
0.61538463830947881
20.0%
0.128318578004837041
20.0%
0.141666665673255921
20.0%
0.345637589693069461
20.0%
0.073791347444057451
20.0%

Length

2022-05-22T18:51:54.361269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.422746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.61538463830947881
20.0%
0.128318578004837041
20.0%
0.141666665673255921
20.0%
0.345637589693069461
20.0%
0.073791347444057451
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.322313994169235229e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5824176073074341
0.14601770043373108
0.14166666567325592
0.39597314596176153
0.06870228797197342

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5824176073074341
2nd row0.14601770043373108
3rd row0.14166666567325592
4th row0.39597314596176153
5th row0.06870228797197342

Common Values

ValueCountFrequency (%)
0.58241760730743411
20.0%
0.146017700433731081
20.0%
0.141666665673255921
20.0%
0.395973145961761531
20.0%
0.068702287971973421
20.0%

Length

2022-05-22T18:51:54.497643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.554683image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.58241760730743411
20.0%
0.146017700433731081
20.0%
0.141666665673255921
20.0%
0.395973145961761531
20.0%
0.068702287971973421
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.694214940071105957e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5641025900840759
0.1194690242409706
0.14791665971279144
0.40604028105735773
0.07633587718009949

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5641025900840759
2nd row0.1194690242409706
3rd row0.14791665971279144
4th row0.40604028105735773
5th row0.07633587718009949

Common Values

ValueCountFrequency (%)
0.56410259008407591
20.0%
0.11946902424097061
20.0%
0.147916659712791441
20.0%
0.406040281057357731
20.0%
0.076335877180099491
20.0%

Length

2022-05-22T18:51:54.627594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.682677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.56410259008407591
20.0%
0.11946902424097061
20.0%
0.147916659712791441
20.0%
0.406040281057357731
20.0%
0.076335877180099491
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.962809860706329346e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5201465487480164
0.12389380484819412
0.15833333134651184
0.45637583732604975
0.07124681770801544

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5201465487480164
2nd row0.12389380484819412
3rd row0.15833333134651184
4th row0.45637583732604975
5th row0.07124681770801544

Common Values

ValueCountFrequency (%)
0.52014654874801641
20.0%
0.123893804848194121
20.0%
0.158333331346511841
20.0%
0.456375837326049751
20.0%
0.071246817708015441
20.0%

Length

2022-05-22T18:51:54.757051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.815083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.52014654874801641
20.0%
0.123893804848194121
20.0%
0.158333331346511841
20.0%
0.456375837326049751
20.0%
0.071246817708015441
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.148760259151458740e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.49084249138832087
0.10176990926265717
0.16875000298023224
0.44630873203277593
0.08396946638822556

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.49084249138832087
2nd row0.10176990926265717
3rd row0.16875000298023224
4th row0.44630873203277593
5th row0.08396946638822556

Common Values

ValueCountFrequency (%)
0.490842491388320871
20.0%
0.101769909262657171
20.0%
0.168750002980232241
20.0%
0.446308732032775931
20.0%
0.083969466388225561
20.0%

Length

2022-05-22T18:51:54.883531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:54.935610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.490842491388320871
20.0%
0.101769909262657171
20.0%
0.168750002980232241
20.0%
0.446308732032775931
20.0%
0.083969466388225561
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.355371862649917603e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.49084249138832087
0.09292035549879074
0.17916665971279144
0.44630873203277593
0.08142493665218353

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.49084249138832087
2nd row0.09292035549879074
3rd row0.17916665971279144
4th row0.44630873203277593
5th row0.08142493665218353

Common Values

ValueCountFrequency (%)
0.490842491388320871
20.0%
0.092920355498790741
20.0%
0.179166659712791441
20.0%
0.446308732032775931
20.0%
0.081424936652183531
20.0%

Length

2022-05-22T18:51:55.006043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.058618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.490842491388320871
20.0%
0.092920355498790741
20.0%
0.179166659712791441
20.0%
0.446308732032775931
20.0%
0.081424936652183531
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.541322410106658936e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.46886447072029114
0.07079645991325377
0.19166666269302368
0.3993288576602936
0.10432569682598114

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.46886447072029114
2nd row0.07079645991325377
3rd row0.19166666269302368
4th row0.3993288576602936
5th row0.10432569682598114

Common Values

ValueCountFrequency (%)
0.468864470720291141
20.0%
0.070796459913253771
20.0%
0.191666662693023681
20.0%
0.39932885766029361
20.0%
0.104325696825981141
20.0%

Length

2022-05-22T18:51:55.134010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.191049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.468864470720291141
20.0%
0.070796459913253771
20.0%
0.191666662693023681
20.0%
0.39932885766029361
20.0%
0.104325696825981141
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.644627988338470459e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4542124569416046
0.0796460211277008
0.20624999701976776
0.3691275119781494
0.10687022656202316

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4542124569416046
2nd row0.0796460211277008
3rd row0.20624999701976776
4th row0.3691275119781494
5th row0.10687022656202316

Common Values

ValueCountFrequency (%)
0.45421245694160461
20.0%
0.07964602112770081
20.0%
0.206249997019767761
20.0%
0.36912751197814941
20.0%
0.106870226562023161
20.0%

Length

2022-05-22T18:51:55.264458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.320009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.45421245694160461
20.0%
0.07964602112770081
20.0%
0.206249997019767761
20.0%
0.36912751197814941
20.0%
0.106870226562023161
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.851239740848541260e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.450549453496933
0.06637167930603027
0.22083333134651184
0.3087248206138611
0.12977099418640137

Length

Max length19
Median length19
Mean length18.4
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.450549453496933
2nd row0.06637167930603027
3rd row0.22083333134651184
4th row0.3087248206138611
5th row0.12977099418640137

Common Values

ValueCountFrequency (%)
0.4505494534969331
20.0%
0.066371679306030271
20.0%
0.220833331346511841
20.0%
0.30872482061386111
20.0%
0.129770994186401371
20.0%

Length

2022-05-22T18:51:55.397386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.460873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.4505494534969331
20.0%
0.066371679306030271
20.0%
0.220833331346511841
20.0%
0.30872482061386111
20.0%
0.129770994186401371
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.727272808551788330e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4652014672756195
0.07079645991325377
0.2395833283662796
0.29530200362205505
0.12977099418640137

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4652014672756195
2nd row0.07079645991325377
3rd row0.2395833283662796
4th row0.29530200362205505
5th row0.12977099418640137

Common Values

ValueCountFrequency (%)
0.46520146727561951
20.0%
0.070796459913253771
20.0%
0.23958332836627961
20.0%
0.295302003622055051
20.0%
0.129770994186401371
20.0%

Length

2022-05-22T18:51:55.533786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.589834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.46520146727561951
20.0%
0.070796459913253771
20.0%
0.23958332836627961
20.0%
0.295302003622055051
20.0%
0.129770994186401371
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.665289342403411865e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.450549453496933
0.0796460211277008
0.25833332538604736
0.2651006579399109
0.13740457594394684

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.450549453496933
2nd row0.0796460211277008
3rd row0.25833332538604736
4th row0.2651006579399109
5th row0.13740457594394684

Common Values

ValueCountFrequency (%)
0.4505494534969331
20.0%
0.07964602112770081
20.0%
0.258333325386047361
20.0%
0.26510065793991091
20.0%
0.137404575943946841
20.0%

Length

2022-05-22T18:51:55.670682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.733674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.4505494534969331
20.0%
0.07964602112770081
20.0%
0.258333325386047361
20.0%
0.26510065793991091
20.0%
0.137404575943946841
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.396694272756576538e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4322344362735748
0.09292035549879074
0.2750000059604645
0.2718120813369751
0.12213740497827529

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4322344362735748
2nd row0.09292035549879074
3rd row0.2750000059604645
4th row0.2718120813369751
5th row0.12213740497827529

Common Values

ValueCountFrequency (%)
0.43223443627357481
20.0%
0.092920355498790741
20.0%
0.27500000596046451
20.0%
0.27181208133697511
20.0%
0.122137404978275291
20.0%

Length

2022-05-22T18:51:55.806089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.860650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.43223443627357481
20.0%
0.092920355498790741
20.0%
0.27500000596046451
20.0%
0.27181208133697511
20.0%
0.122137404978275291
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

2.148760259151458740e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4249084293842316
0.08849557489156723
0.2874999940395355
0.25838926434516907
0.1323155164718628

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4249084293842316
2nd row0.08849557489156723
3rd row0.2874999940395355
4th row0.25838926434516907
5th row0.1323155164718628

Common Values

ValueCountFrequency (%)
0.42490842938423161
20.0%
0.088495574891567231
20.0%
0.28749999403953551
20.0%
0.258389264345169071
20.0%
0.13231551647186281
20.0%

Length

2022-05-22T18:51:55.931105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:55.988148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.42490842938423161
20.0%
0.088495574891567231
20.0%
0.28749999403953551
20.0%
0.258389264345169071
20.0%
0.13231551647186281
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.735537201166152954e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.41025641560554493
0.08407079428434373
0.3083333373069763
0.26845636963844294
0.12468193471431732

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.41025641560554493
2nd row0.08407079428434373
3rd row0.3083333373069763
4th row0.26845636963844294
5th row0.12468193471431732

Common Values

ValueCountFrequency (%)
0.410256415605544931
20.0%
0.084070794284343731
20.0%
0.30833333730697631
20.0%
0.268456369638442941
20.0%
0.124681934714317321
20.0%

Length

2022-05-22T18:51:56.060566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.116117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.410256415605544931
20.0%
0.084070794284343731
20.0%
0.30833333730697631
20.0%
0.268456369638442941
20.0%
0.124681934714317321
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.570248007774353027e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3919413983821869
0.0796460211277008
0.32083332538604736
0.2617449760437012
0.12977099418640137

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3919413983821869
2nd row0.0796460211277008
3rd row0.32083332538604736
4th row0.2617449760437012
5th row0.12977099418640137

Common Values

ValueCountFrequency (%)
0.39194139838218691
20.0%
0.07964602112770081
20.0%
0.320833325386047361
20.0%
0.26174497604370121
20.0%
0.129770994186401371
20.0%

Length

2022-05-22T18:51:56.187044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.241108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.39194139838218691
20.0%
0.07964602112770081
20.0%
0.320833325386047361
20.0%
0.26174497604370121
20.0%
0.129770994186401371
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.239669397473335266e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3699633777141571
0.08849557489156723
0.3312500119209289
0.281879186630249
0.11704834550619124

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3699633777141571
2nd row0.08849557489156723
3rd row0.3312500119209289
4th row0.281879186630249
5th row0.11704834550619124

Common Values

ValueCountFrequency (%)
0.36996337771415711
20.0%
0.088495574891567231
20.0%
0.33125001192092891
20.0%
0.2818791866302491
20.0%
0.117048345506191241
20.0%

Length

2022-05-22T18:51:56.318511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.380480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.36996337771415711
20.0%
0.088495574891567231
20.0%
0.33125001192092891
20.0%
0.2818791866302491
20.0%
0.117048345506191241
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.219008266925811768e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.37362638115882874
0.09292035549879074
0.3416666686534881
0.2718120813369751
0.12722645699977875

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.37362638115882874
2nd row0.09292035549879074
3rd row0.3416666686534881
4th row0.2718120813369751
5th row0.12722645699977875

Common Values

ValueCountFrequency (%)
0.373626381158828741
20.0%
0.092920355498790741
20.0%
0.34166666865348811
20.0%
0.27181208133697511
20.0%
0.127226456999778751
20.0%

Length

2022-05-22T18:51:56.451904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.507952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.373626381158828741
20.0%
0.092920355498790741
20.0%
0.34166666865348811
20.0%
0.27181208133697511
20.0%
0.127226456999778751
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.074380129575729370e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.36630037426948553
0.10619468986988068
0.34583333134651184
0.29865771532058716
0.11959287524223328

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.36630037426948553
2nd row0.10619468986988068
3rd row0.34583333134651184
4th row0.29865771532058716
5th row0.11959287524223328

Common Values

ValueCountFrequency (%)
0.366300374269485531
20.0%
0.106194689869880681
20.0%
0.345833331346511841
20.0%
0.298657715320587161
20.0%
0.119592875242233281
20.0%

Length

2022-05-22T18:51:56.576404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.627961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.366300374269485531
20.0%
0.106194689869880681
20.0%
0.345833331346511841
20.0%
0.298657715320587161
20.0%
0.119592875242233281
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.053718999028205872e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3186813294887543
0.10619468986988068
0.35208332538604736
0.29194632172584534
0.11450381577014924

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3186813294887543
2nd row0.10619468986988068
3rd row0.35208332538604736
4th row0.29194632172584534
5th row0.11450381577014924

Common Values

ValueCountFrequency (%)
0.31868132948875431
20.0%
0.106194689869880681
20.0%
0.352083325386047361
20.0%
0.291946321725845341
20.0%
0.114503815770149241
20.0%

Length

2022-05-22T18:51:56.703353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:56.760889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.31868132948875431
20.0%
0.106194689869880681
20.0%
0.352083325386047361
20.0%
0.291946321725845341
20.0%
0.114503815770149241
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.710744023323059082e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.311355322599411
0.12389380484819412
0.3541666567325592
0.31879195570945734
0.10178116708993912

Length

Max length19
Median length19
Mean length18.4
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.311355322599411
2nd row0.12389380484819412
3rd row0.3541666567325592
4th row0.31879195570945734
5th row0.10178116708993912

Common Values

ValueCountFrequency (%)
0.3113553225994111
20.0%
0.123893804848194121
20.0%
0.35416665673255921
20.0%
0.318791955709457341
20.0%
0.101781167089939121
20.0%

Length

2022-05-22T18:51:57.013352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.074360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.3113553225994111
20.0%
0.123893804848194121
20.0%
0.35416665673255921
20.0%
0.318791955709457341
20.0%
0.101781167089939121
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.053718999028205872e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.32600733637809753
0.09734513610601424
0.34583333134651184
0.3120805323123932
0.11704834550619124

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.32600733637809753
2nd row0.09734513610601424
3rd row0.34583333134651184
4th row0.3120805323123932
5th row0.11704834550619124

Common Values

ValueCountFrequency (%)
0.326007336378097531
20.0%
0.097345136106014241
20.0%
0.345833331346511841
20.0%
0.31208053231239321
20.0%
0.117048345506191241
20.0%

Length

2022-05-22T18:51:57.147301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.204311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.326007336378097531
20.0%
0.097345136106014241
20.0%
0.345833331346511841
20.0%
0.31208053231239321
20.0%
0.117048345506191241
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.917355328798294067e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.311355322599411
0.12389380484819412
0.34583333134651184
0.3422818779945373
0.09923664480447768

Length

Max length19
Median length19
Mean length18.4
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.311355322599411
2nd row0.12389380484819412
3rd row0.34583333134651184
4th row0.3422818779945373
5th row0.09923664480447768

Common Values

ValueCountFrequency (%)
0.3113553225994111
20.0%
0.123893804848194121
20.0%
0.345833331346511841
20.0%
0.34228187799453731
20.0%
0.099236644804477681
20.0%

Length

2022-05-22T18:51:57.281687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.343688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.3113553225994111
20.0%
0.123893804848194121
20.0%
0.345833331346511841
20.0%
0.34228187799453731
20.0%
0.099236644804477681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.053718999028205872e-01.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.31501832604408264
0.1194690242409706
0.3479166626930237
0.3255033493041992
0.09923664480447768

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.31501832604408264
2nd row0.1194690242409706
3rd row0.3479166626930237
4th row0.3255033493041992
5th row0.09923664480447768

Common Values

ValueCountFrequency (%)
0.315018326044082641
20.0%
0.11946902424097061
20.0%
0.34791666269302371
20.0%
0.32550334930419921
20.0%
0.099236644804477681
20.0%

Length

2022-05-22T18:51:57.415608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.471160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.315018326044082641
20.0%
0.11946902424097061
20.0%
0.34791666269302371
20.0%
0.32550334930419921
20.0%
0.099236644804477681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.917355328798294067e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3223443329334259
0.14159291982650757
0.3416666686534881
0.34563758969306946
0.07888040691614151

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3223443329334259
2nd row0.14159291982650757
3rd row0.3416666686534881
4th row0.34563758969306946
5th row0.07888040691614151

Common Values

ValueCountFrequency (%)
0.32234433293342591
20.0%
0.141592919826507571
20.0%
0.34166666865348811
20.0%
0.345637589693069461
20.0%
0.078880406916141511
20.0%

Length

2022-05-22T18:51:57.545062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.601608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.32234433293342591
20.0%
0.141592919826507571
20.0%
0.34166666865348811
20.0%
0.345637589693069461
20.0%
0.078880406916141511
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.074380129575729370e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3443223536014557
0.13274335861206055
0.3416666686534881
0.3322147727012634
0.09669211506843568

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3443223536014557
2nd row0.13274335861206055
3rd row0.3416666686534881
4th row0.3322147727012634
5th row0.09669211506843568

Common Values

ValueCountFrequency (%)
0.34432235360145571
20.0%
0.132743358612060551
20.0%
0.34166666865348811
20.0%
0.33221477270126341
20.0%
0.096692115068435681
20.0%

Length

2022-05-22T18:51:57.675039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.731064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.34432235360145571
20.0%
0.132743358612060551
20.0%
0.34166666865348811
20.0%
0.33221477270126341
20.0%
0.096692115068435681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.074380129575729370e-01.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3443223536014557
0.1548672616481781
0.34375
0.3523489832878113
0.08651399612426758

Length

Max length19
Median length18
Mean length16
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3443223536014557
2nd row0.1548672616481781
3rd row0.34375
4th row0.3523489832878113
5th row0.08651399612426758

Common Values

ValueCountFrequency (%)
0.34432235360145571
20.0%
0.15486726164817811
20.0%
0.343751
20.0%
0.35234898328781131
20.0%
0.086513996124267581
20.0%

Length

2022-05-22T18:51:57.805463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.862008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.34432235360145571
20.0%
0.15486726164817811
20.0%
0.343751
20.0%
0.35234898328781131
20.0%
0.086513996124267581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.157024800777435303e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3333333432674408
0.14601770043373108
0.34375
0.3355704843997956
0.07633587718009949

Length

Max length19
Median length18
Mean length16.2
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3333333432674408
2nd row0.14601770043373108
3rd row0.34375
4th row0.3355704843997956
5th row0.07633587718009949

Common Values

ValueCountFrequency (%)
0.33333334326744081
20.0%
0.146017700433731081
20.0%
0.343751
20.0%
0.33557048439979561
20.0%
0.076335877180099491
20.0%

Length

2022-05-22T18:51:57.935416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:57.991463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.33333334326744081
20.0%
0.146017700433731081
20.0%
0.343751
20.0%
0.33557048439979561
20.0%
0.076335877180099491
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.115702465176582336e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3040293157100677
0.16814158856868744
0.3416666686534881
0.3523489832878113
0.06870228797197342

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3040293157100677
2nd row0.16814158856868744
3rd row0.3416666686534881
4th row0.3523489832878113
5th row0.06870228797197342

Common Values

ValueCountFrequency (%)
0.30402931571006771
20.0%
0.168141588568687441
20.0%
0.34166666865348811
20.0%
0.35234898328781131
20.0%
0.068702287971973421
20.0%

Length

2022-05-22T18:51:58.063382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.118936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.30402931571006771
20.0%
0.168141588568687441
20.0%
0.34166666865348811
20.0%
0.35234898328781131
20.0%
0.068702287971973421
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.219008266925811768e-01.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.3076923191547394
0.1592920422554016
0.3375000059604645
0.34563758969306946
0.0890585258603096

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.3076923191547394
2nd row0.1592920422554016
3rd row0.3375000059604645
4th row0.34563758969306946
5th row0.0890585258603096

Common Values

ValueCountFrequency (%)
0.30769231915473941
20.0%
0.15929204225540161
20.0%
0.33750000596046451
20.0%
0.345637589693069461
20.0%
0.08905852586030961
20.0%

Length

2022-05-22T18:51:58.194824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.251863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.30769231915473941
20.0%
0.15929204225540161
20.0%
0.33750000596046451
20.0%
0.345637589693069461
20.0%
0.08905852586030961
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.115702465176582336e-01.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.282051295042038
0.16371680796146393
0.3416666686534881
0.36577180027961725
0.0890585258603096

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.282051295042038
2nd row0.16371680796146393
3rd row0.3416666686534881
4th row0.36577180027961725
5th row0.0890585258603096

Common Values

ValueCountFrequency (%)
0.2820512950420381
20.0%
0.163716807961463931
20.0%
0.34166666865348811
20.0%
0.365771800279617251
20.0%
0.08905852586030961
20.0%

Length

2022-05-22T18:51:58.331223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.395207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.2820512950420381
20.0%
0.163716807961463931
20.0%
0.34166666865348811
20.0%
0.365771800279617251
20.0%
0.08905852586030961
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.198347136378288269e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.27106228470802307
0.16814158856868744
0.3604166805744171
0.3557046949863434
0.0890585258603096

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.27106228470802307
2nd row0.16814158856868744
3rd row0.3604166805744171
4th row0.3557046949863434
5th row0.0890585258603096

Common Values

ValueCountFrequency (%)
0.271062284708023071
20.0%
0.168141588568687441
20.0%
0.36041668057441711
20.0%
0.35570469498634341
20.0%
0.08905852586030961
20.0%

Length

2022-05-22T18:51:58.468616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.524167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.271062284708023071
20.0%
0.168141588568687441
20.0%
0.36041668057441711
20.0%
0.35570469498634341
20.0%
0.08905852586030961
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.115702465176582336e-01.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2857142984867096
0.16814158856868744
0.3583333194255829
0.3590604066848755
0.07633587718009949

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2857142984867096
2nd row0.16814158856868744
3rd row0.3583333194255829
4th row0.3590604066848755
5th row0.07633587718009949

Common Values

ValueCountFrequency (%)
0.28571429848670961
20.0%
0.168141588568687441
20.0%
0.35833331942558291
20.0%
0.35906040668487551
20.0%
0.076335877180099491
20.0%

Length

2022-05-22T18:51:58.597575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.653623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.28571429848670961
20.0%
0.168141588568687441
20.0%
0.35833331942558291
20.0%
0.35906040668487551
20.0%
0.076335877180099491
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.136363670229911804e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2637362778186798
0.16371680796146393
0.3583333194255829
0.3489933013916016
0.10432569682598114

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2637362778186798
2nd row0.16371680796146393
3rd row0.3583333194255829
4th row0.3489933013916016
5th row0.10432569682598114

Common Values

ValueCountFrequency (%)
0.26373627781867981
20.0%
0.163716807961463931
20.0%
0.35833331942558291
20.0%
0.34899330139160161
20.0%
0.104325696825981141
20.0%

Length

2022-05-22T18:51:58.725543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.780126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.26373627781867981
20.0%
0.163716807961463931
20.0%
0.35833331942558291
20.0%
0.34899330139160161
20.0%
0.104325696825981141
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.115702465176582336e-01.4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2747252881526947
0.181415930390358
0.35208332538604736
0.36577180027961725
0.09160305559635161

Length

Max length19
Median length19
Mean length18.4
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2747252881526947
2nd row0.181415930390358
3rd row0.35208332538604736
4th row0.36577180027961725
5th row0.09160305559635161

Common Values

ValueCountFrequency (%)
0.27472528815269471
20.0%
0.1814159303903581
20.0%
0.352083325386047361
20.0%
0.365771800279617251
20.0%
0.091603055596351611
20.0%

Length

2022-05-22T18:51:58.857975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:58.919479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.27472528815269471
20.0%
0.1814159303903581
20.0%
0.352083325386047361
20.0%
0.365771800279617251
20.0%
0.091603055596351611
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.219008266925811768e-01.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.282051295042038
0.18584071099758148
0.35624998807907104
0.3489933013916016
0.09923664480447768

Length

Max length19
Median length19
Mean length18.4
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.282051295042038
2nd row0.18584071099758148
3rd row0.35624998807907104
4th row0.3489933013916016
5th row0.09923664480447768

Common Values

ValueCountFrequency (%)
0.2820512950420381
20.0%
0.185840710997581481
20.0%
0.356249988079071041
20.0%
0.34899330139160161
20.0%
0.099236644804477681
20.0%

Length

2022-05-22T18:51:58.997351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.058855image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.2820512950420381
20.0%
0.185840710997581481
20.0%
0.356249988079071041
20.0%
0.34899330139160161
20.0%
0.099236644804477681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.053718999028205872e-01.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.26739928126335144
0.1991150379180908
0.3583333194255829
0.3859060406684875
0.09669211506843568

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.26739928126335144
2nd row0.1991150379180908
3rd row0.3583333194255829
4th row0.3859060406684875
5th row0.09669211506843568

Common Values

ValueCountFrequency (%)
0.267399281263351441
20.0%
0.19911503791809081
20.0%
0.35833331942558291
20.0%
0.38590604066848751
20.0%
0.096692115068435681
20.0%

Length

2022-05-22T18:51:59.129809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.183847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.267399281263351441
20.0%
0.19911503791809081
20.0%
0.35833331942558291
20.0%
0.38590604066848751
20.0%
0.096692115068435681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.074380129575729370e-01.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.27838829159736633
0.17699114978313446
0.34375
0.3758389353752136
0.11450381577014924

Length

Max length19
Median length19
Mean length16.4
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.27838829159736633
2nd row0.17699114978313446
3rd row0.34375
4th row0.3758389353752136
5th row0.11450381577014924

Common Values

ValueCountFrequency (%)
0.278388291597366331
20.0%
0.176991149783134461
20.0%
0.343751
20.0%
0.37583893537521361
20.0%
0.114503815770149241
20.0%

Length

2022-05-22T18:51:59.256289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.310851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.278388291597366331
20.0%
0.176991149783134461
20.0%
0.343751
20.0%
0.37583893537521361
20.0%
0.114503815770149241
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.012396663427352905e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2893773019313812
0.20353981852531436
0.30416667461395264
0.4026845693588257
0.12213740497827529

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2893773019313812
2nd row0.20353981852531436
3rd row0.30416667461395264
4th row0.4026845693588257
5th row0.12213740497827529

Common Values

ValueCountFrequency (%)
0.28937730193138121
20.0%
0.203539818525314361
20.0%
0.304166674613952641
20.0%
0.40268456935882571
20.0%
0.122137404978275291
20.0%

Length

2022-05-22T18:51:59.379790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.434822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.28937730193138121
20.0%
0.203539818525314361
20.0%
0.304166674613952641
20.0%
0.40268456935882571
20.0%
0.122137404978275291
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.012396663427352905e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.29304030537605286
0.19026549160480496
0.2874999940395355
0.39261746406555176
0.12213740497827529

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.29304030537605286
2nd row0.19026549160480496
3rd row0.2874999940395355
4th row0.39261746406555176
5th row0.12213740497827529

Common Values

ValueCountFrequency (%)
0.293040305376052861
20.0%
0.190265491604804961
20.0%
0.28749999403953551
20.0%
0.392617464065551761
20.0%
0.122137404978275291
20.0%

Length

2022-05-22T18:51:59.506766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.562294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.293040305376052861
20.0%
0.190265491604804961
20.0%
0.28749999403953551
20.0%
0.392617464065551761
20.0%
0.122137404978275291
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.677686005830764771e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2893773019313812
0.20353981852531436
0.2708333432674408
0.4194630980491638
0.12722645699977875

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2893773019313812
2nd row0.20353981852531436
3rd row0.2708333432674408
4th row0.4194630980491638
5th row0.12722645699977875

Common Values

ValueCountFrequency (%)
0.28937730193138121
20.0%
0.203539818525314361
20.0%
0.27083334326744081
20.0%
0.41946309804916381
20.0%
0.127226456999778751
20.0%

Length

2022-05-22T18:51:59.633222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.688306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.28937730193138121
20.0%
0.203539818525314361
20.0%
0.27083334326744081
20.0%
0.41946309804916381
20.0%
0.127226456999778751
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.297520667314529419e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2893773019313812
0.19469027221202848
0.2666666805744171
0.4026845693588257
0.14758269488811493

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2893773019313812
2nd row0.19469027221202848
3rd row0.2666666805744171
4th row0.4026845693588257
5th row0.14758269488811493

Common Values

ValueCountFrequency (%)
0.28937730193138121
20.0%
0.194690272212028481
20.0%
0.26666668057441711
20.0%
0.40268456935882571
20.0%
0.147582694888114931
20.0%

Length

2022-05-22T18:51:59.759230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.812800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.28937730193138121
20.0%
0.194690272212028481
20.0%
0.26666668057441711
20.0%
0.40268456935882571
20.0%
0.147582694888114931
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.471074700355529785e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2893773019313812
0.21238937973976132
0.2604166567325592
0.4093959629535675
0.1704834550619125

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2893773019313812
2nd row0.21238937973976132
3rd row0.2604166567325592
4th row0.4093959629535675
5th row0.1704834550619125

Common Values

ValueCountFrequency (%)
0.28937730193138121
20.0%
0.212389379739761321
20.0%
0.26041665673255921
20.0%
0.40939596295356751
20.0%
0.17048345506191251
20.0%

Length

2022-05-22T18:51:59.885228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:51:59.940771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.28937730193138121
20.0%
0.212389379739761321
20.0%
0.26041665673255921
20.0%
0.40939596295356751
20.0%
0.17048345506191251
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.264462649822235107e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.29304030537605286
0.20353981852531436
0.26249998807907104
0.3859060406684875
0.1933842301368713

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.29304030537605286
2nd row0.20353981852531436
3rd row0.26249998807907104
4th row0.3859060406684875
5th row0.1933842301368713

Common Values

ValueCountFrequency (%)
0.293040305376052861
20.0%
0.203539818525314361
20.0%
0.262499988079071041
20.0%
0.38590604066848751
20.0%
0.19338423013687131
20.0%

Length

2022-05-22T18:52:00.011204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.064765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.293040305376052861
20.0%
0.203539818525314361
20.0%
0.262499988079071041
20.0%
0.38590604066848751
20.0%
0.19338423013687131
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.851240038871765137e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.282051295042038
0.21238937973976132
0.2562499940395355
0.3859060406684875
0.20865139365196228

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.282051295042038
2nd row0.21238937973976132
3rd row0.2562499940395355
4th row0.3859060406684875
5th row0.20865139365196228

Common Values

ValueCountFrequency (%)
0.2820512950420381
20.0%
0.212389379739761321
20.0%
0.25624999403953551
20.0%
0.38590604066848751
20.0%
0.208651393651962281
20.0%

Length

2022-05-22T18:52:00.142117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.205143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.2820512950420381
20.0%
0.212389379739761321
20.0%
0.25624999403953551
20.0%
0.38590604066848751
20.0%
0.208651393651962281
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.851240038871765137e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.26739928126335144
0.21238937973976132
0.2687500119209289
0.3489933013916016
0.23409669101238248

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.26739928126335144
2nd row0.21238937973976132
3rd row0.2687500119209289
4th row0.3489933013916016
5th row0.23409669101238248

Common Values

ValueCountFrequency (%)
0.267399281263351441
20.0%
0.212389379739761321
20.0%
0.26875001192092891
20.0%
0.34899330139160161
20.0%
0.234096691012382481
20.0%

Length

2022-05-22T18:52:00.274584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.328141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.267399281263351441
20.0%
0.212389379739761321
20.0%
0.26875001192092891
20.0%
0.34899330139160161
20.0%
0.234096691012382481
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.024793326854705811e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2564102709293365
0.22566372156143188
0.2604166567325592
0.3624161183834076
0.2239185720682144

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2564102709293365
2nd row0.22566372156143188
3rd row0.2604166567325592
4th row0.3624161183834076
5th row0.2239185720682144

Common Values

ValueCountFrequency (%)
0.25641027092933651
20.0%
0.225663721561431881
20.0%
0.26041665673255921
20.0%
0.36241611838340761
20.0%
0.22391857206821441
20.0%

Length

2022-05-22T18:52:00.400533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.455612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.25641027092933651
20.0%
0.225663721561431881
20.0%
0.26041665673255921
20.0%
0.36241611838340761
20.0%
0.22391857206821441
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.644627988338470459e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.25274726748466486
0.2389380484819412
0.2645833194255829
0.3322147727012634
0.2239185720682144

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.25274726748466486
2nd row0.2389380484819412
3rd row0.2645833194255829
4th row0.3322147727012634
5th row0.2239185720682144

Common Values

ValueCountFrequency (%)
0.252747267484664861
20.0%
0.23893804848194121
20.0%
0.26458331942558291
20.0%
0.33221477270126341
20.0%
0.22391857206821441
20.0%

Length

2022-05-22T18:52:00.527536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.796368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.252747267484664861
20.0%
0.23893804848194121
20.0%
0.26458331942558291
20.0%
0.33221477270126341
20.0%
0.22391857206821441
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.818182021379470825e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2161172181367874
0.28318583965301514
0.2687500119209289
0.3557046949863434
0.1781170517206192

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2161172181367874
2nd row0.28318583965301514
3rd row0.2687500119209289
4th row0.3557046949863434
5th row0.1781170517206192

Common Values

ValueCountFrequency (%)
0.21611721813678741
20.0%
0.283185839653015141
20.0%
0.26875001192092891
20.0%
0.35570469498634341
20.0%
0.17811705172061921
20.0%

Length

2022-05-22T18:52:00.868781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:00.924827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.21611721813678741
20.0%
0.283185839653015141
20.0%
0.26875001192092891
20.0%
0.35570469498634341
20.0%
0.17811705172061921
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.851240038871765137e-02.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.22344322502613068
0.3053097426891327
0.2708333432674408
0.3120805323123932
0.2010178118944168

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.22344322502613068
2nd row0.3053097426891327
3rd row0.2708333432674408
4th row0.3120805323123932
5th row0.2010178118944168

Common Values

ValueCountFrequency (%)
0.223443225026130681
20.0%
0.30530974268913271
20.0%
0.27083334326744081
20.0%
0.31208053231239321
20.0%
0.20101781189441681
20.0%

Length

2022-05-22T18:52:00.996752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.052798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.223443225026130681
20.0%
0.30530974268913271
20.0%
0.27083334326744081
20.0%
0.31208053231239321
20.0%
0.20101781189441681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.024793326854705811e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2380952388048172
0.3938052952289581
0.2708333432674408
0.34563758969306946
0.18066157400608063

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2380952388048172
2nd row0.3938052952289581
3rd row0.2708333432674408
4th row0.34563758969306946
5th row0.18066157400608063

Common Values

ValueCountFrequency (%)
0.23809523880481721
20.0%
0.39380529522895811
20.0%
0.27083334326744081
20.0%
0.345637589693069461
20.0%
0.180661574006080631
20.0%

Length

2022-05-22T18:52:01.122735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.178288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.23809523880481721
20.0%
0.39380529522895811
20.0%
0.27083334326744081
20.0%
0.345637589693069461
20.0%
0.180661574006080631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.818182021379470825e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.2161172181367874
0.45132744312286377
0.2750000059604645
0.31879195570945734
0.12977099418640137

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.2161172181367874
2nd row0.45132744312286377
3rd row0.2750000059604645
4th row0.31879195570945734
5th row0.12977099418640137

Common Values

ValueCountFrequency (%)
0.21611721813678741
20.0%
0.451327443122863771
20.0%
0.27500000596046451
20.0%
0.318791955709457341
20.0%
0.129770994186401371
20.0%

Length

2022-05-22T18:52:01.251172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.305762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.21611721813678741
20.0%
0.451327443122863771
20.0%
0.27500000596046451
20.0%
0.318791955709457341
20.0%
0.129770994186401371
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.818182021379470825e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.26739928126335144
0.43362832069396967
0.27291667461395264
0.3255033493041992
0.10687022656202316

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.26739928126335144
2nd row0.43362832069396967
3rd row0.27291667461395264
4th row0.3255033493041992
5th row0.10687022656202316

Common Values

ValueCountFrequency (%)
0.267399281263351441
20.0%
0.433628320693969671
20.0%
0.272916674613952641
20.0%
0.32550334930419921
20.0%
0.106870226562023161
20.0%

Length

2022-05-22T18:52:01.379636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.437199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.267399281263351441
20.0%
0.433628320693969671
20.0%
0.272916674613952641
20.0%
0.32550334930419921
20.0%
0.106870226562023161
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.438016682863235474e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.4175824224948883
0.37168142199516296
0.2791666686534881
0.30536913871765137
0.10687022656202316

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.4175824224948883
2nd row0.37168142199516296
3rd row0.2791666686534881
4th row0.30536913871765137
5th row0.10687022656202316

Common Values

ValueCountFrequency (%)
0.41758242249488831
20.0%
0.371681421995162961
20.0%
0.27916666865348811
20.0%
0.305369138717651371
20.0%
0.106870226562023161
20.0%

Length

2022-05-22T18:52:01.516069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.571587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.41758242249488831
20.0%
0.371681421995162961
20.0%
0.27916666865348811
20.0%
0.305369138717651371
20.0%
0.106870226562023161
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.231404632329940796e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.5824176073074341
0.35840708017349243
0.28125
0.3120805323123932
0.09669211506843568

Length

Max length19
Median length18
Mean length16.2
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.5824176073074341
2nd row0.35840708017349243
3rd row0.28125
4th row0.3120805323123932
5th row0.09669211506843568

Common Values

ValueCountFrequency (%)
0.58241760730743411
20.0%
0.358407080173492431
20.0%
0.281251
20.0%
0.31208053231239321
20.0%
0.096692115068435681
20.0%

Length

2022-05-22T18:52:01.645023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.700051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.58241760730743411
20.0%
0.358407080173492431
20.0%
0.281251
20.0%
0.31208053231239321
20.0%
0.096692115068435681
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.090909361839294434e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.6153846383094788
0.27433627843856806
0.28125
0.30201342701911926
0.09160305559635161

Length

Max length19
Median length19
Mean length16.4
Min length7

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.6153846383094788
2nd row0.27433627843856806
3rd row0.28125
4th row0.30201342701911926
5th row0.09160305559635161

Common Values

ValueCountFrequency (%)
0.61538463830947881
20.0%
0.274336278438568061
20.0%
0.281251
20.0%
0.302013427019119261
20.0%
0.091603055596351611
20.0%

Length

2022-05-22T18:52:01.776955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.832511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.61538463830947881
20.0%
0.274336278438568061
20.0%
0.281251
20.0%
0.302013427019119261
20.0%
0.091603055596351611
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.012396663427352905e-01.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.622710645198822
0.2168141603469849
0.28333333134651184
0.3355704843997956
0.08651399612426758

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.622710645198822
2nd row0.2168141603469849
3rd row0.28333333134651184
4th row0.3355704843997956
5th row0.08651399612426758

Common Values

ValueCountFrequency (%)
0.6227106451988221
20.0%
0.21681416034698491
20.0%
0.283333331346511841
20.0%
0.33557048439979561
20.0%
0.086513996124267581
20.0%

Length

2022-05-22T18:52:01.909889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:01.972378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.6227106451988221
20.0%
0.21681416034698491
20.0%
0.283333331346511841
20.0%
0.33557048439979561
20.0%
0.086513996124267581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.074380129575729370e-01.4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.761904776096344
0.181415930390358
0.2770833373069763
0.3120805323123932
0.10178116708993912

Length

Max length19
Median length18
Mean length17.8
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.761904776096344
2nd row0.181415930390358
3rd row0.2770833373069763
4th row0.3120805323123932
5th row0.10178116708993912

Common Values

ValueCountFrequency (%)
0.7619047760963441
20.0%
0.1814159303903581
20.0%
0.27708333730697631
20.0%
0.31208053231239321
20.0%
0.101781167089939121
20.0%

Length

2022-05-22T18:52:02.051715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.114238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.7619047760963441
20.0%
0.1814159303903581
20.0%
0.27708333730697631
20.0%
0.31208053231239321
20.0%
0.101781167089939121
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.053718999028205872e-01.4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.8644688725471495
0.18584071099758148
0.2604166567325592
0.32885906100273127
0.07633587718009949

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.8644688725471495
2nd row0.18584071099758148
3rd row0.2604166567325592
4th row0.32885906100273127
5th row0.07633587718009949

Common Values

ValueCountFrequency (%)
0.86446887254714951
20.0%
0.185840710997581481
20.0%
0.26041665673255921
20.0%
0.328859061002731271
20.0%
0.076335877180099491
20.0%

Length

2022-05-22T18:52:02.184670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.239237image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.86446887254714951
20.0%
0.185840710997581481
20.0%
0.26041665673255921
20.0%
0.328859061002731271
20.0%
0.076335877180099491
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.219008266925811768e-01.4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
1.0
0.18584071099758148
0.3187499940395355
0.3120805323123932
0.0

Length

Max length19
Median length18
Mean length12.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row1.0
2nd row0.18584071099758148
3rd row0.3187499940395355
4th row0.3120805323123932
5th row0.0

Common Values

ValueCountFrequency (%)
1.01
20.0%
0.185840710997581481
20.0%
0.31874999403953551
20.0%
0.31208053231239321
20.0%
0.01
20.0%

Length

2022-05-22T18:52:02.312115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.368163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.01
20.0%
0.185840710997581481
20.0%
0.31874999403953551
20.0%
0.31208053231239321
20.0%
0.01
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.157024800777435303e-01.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.9084249138832092
0.18584071099758148
0.48124998807907104
0.3322147727012634
0.0

Length

Max length19
Median length18
Mean length15.4
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.9084249138832092
2nd row0.18584071099758148
3rd row0.48124998807907104
4th row0.3322147727012634
5th row0.0

Common Values

ValueCountFrequency (%)
0.90842491388320921
20.0%
0.185840710997581481
20.0%
0.481249988079071041
20.0%
0.33221477270126341
20.0%
0.01
20.0%

Length

2022-05-22T18:52:02.441102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.498639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.90842491388320921
20.0%
0.185840710997581481
20.0%
0.481249988079071041
20.0%
0.33221477270126341
20.0%
0.01
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.095041334629058838e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.6739926934242249
0.19469027221202848
0.6145833134651184
0.3221476376056671
0.23409669101238248

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.6739926934242249
2nd row0.19469027221202848
3rd row0.6145833134651184
4th row0.3221476376056671
5th row0.23409669101238248

Common Values

ValueCountFrequency (%)
0.67399269342422491
20.0%
0.194690272212028481
20.0%
0.61458331346511841
20.0%
0.32214763760566711
20.0%
0.234096691012382481
20.0%

Length

2022-05-22T18:52:02.568078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.622141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.67399269342422491
20.0%
0.194690272212028481
20.0%
0.61458331346511841
20.0%
0.32214763760566711
20.0%
0.234096691012382481
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.710744023323059082e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.31501832604408264
0.22566372156143188
0.7479166388511658
0.3422818779945373
0.5648854970932007

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.31501832604408264
2nd row0.22566372156143188
3rd row0.7479166388511658
4th row0.3422818779945373
5th row0.5648854970932007

Common Values

ValueCountFrequency (%)
0.315018326044082641
20.0%
0.225663721561431881
20.0%
0.74791663885116581
20.0%
0.34228187799453731
20.0%
0.56488549709320071
20.0%

Length

2022-05-22T18:52:02.691584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.746144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.315018326044082641
20.0%
0.225663721561431881
20.0%
0.74791663885116581
20.0%
0.34228187799453731
20.0%
0.56488549709320071
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.033057868480682373e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.1538461595773697
0.181415930390358
0.9041666388511655
0.3590604066848755
0.8498727679252625

Length

Max length18
Median length18
Mean length17.8
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.1538461595773697
2nd row0.181415930390358
3rd row0.9041666388511655
4th row0.3590604066848755
5th row0.8498727679252625

Common Values

ValueCountFrequency (%)
0.15384615957736971
20.0%
0.1814159303903581
20.0%
0.90416663885116551
20.0%
0.35906040668487551
20.0%
0.84987276792526251
20.0%

Length

2022-05-22T18:52:02.822526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:02.879065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.15384615957736971
20.0%
0.1814159303903581
20.0%
0.90416663885116551
20.0%
0.35906040668487551
20.0%
0.84987276792526251
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.710744023323059082e-02.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.1208791211247444
0.22566372156143188
0.9708333611488342
0.449664443731308
0.9949109554290771

Length

Max length19
Median length18
Mean length18
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.1208791211247444
2nd row0.22566372156143188
3rd row0.9708333611488342
4th row0.449664443731308
5th row0.9949109554290771

Common Values

ValueCountFrequency (%)
0.12087912112474441
20.0%
0.225663721561431881
20.0%
0.97083336114883421
20.0%
0.4496644437313081
20.0%
0.99491095542907711
20.0%

Length

2022-05-22T18:52:02.956449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.018418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.12087912112474441
20.0%
0.225663721561431881
20.0%
0.97083336114883421
20.0%
0.4496644437313081
20.0%
0.99491095542907711
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.677686005830764771e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.09890110045671464
0.6681416034698486
0.9354166388511655
0.5906040072441101
0.9745547175407407

Length

Max length19
Median length18
Mean length18.2
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.09890110045671464
2nd row0.6681416034698486
3rd row0.9354166388511655
4th row0.5906040072441101
5th row0.9745547175407407

Common Values

ValueCountFrequency (%)
0.098901100456714641
20.0%
0.66814160346984861
20.0%
0.93541663885116551
20.0%
0.59060400724411011
20.0%
0.97455471754074071
20.0%

Length

2022-05-22T18:52:03.092846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.147903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.098901100456714641
20.0%
0.66814160346984861
20.0%
0.93541663885116551
20.0%
0.59060400724411011
20.0%
0.97455471754074071
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.231404632329940796e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.04395604506134986
1.0
0.7395833134651184
0.7214764952659608
0.8295165300369263

Length

Max length19
Median length18
Mean length15.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.04395604506134986
2nd row1.0
3rd row0.7395833134651184
4th row0.7214764952659608
5th row0.8295165300369263

Common Values

ValueCountFrequency (%)
0.043956045061349861
20.0%
1.01
20.0%
0.73958331346511841
20.0%
0.72147649526596081
20.0%
0.82951653003692631
20.0%

Length

2022-05-22T18:52:03.223790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.281822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.043956045061349861
20.0%
1.01
20.0%
0.73958331346511841
20.0%
0.72147649526596081
20.0%
0.82951653003692631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

7.024793326854705811e-02.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.02197802253067493
0.4601770043373108
0.5458333492279053
0.6610738039016724
0.40712466835975647

Length

Max length19
Median length18
Mean length18.4
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.02197802253067493
2nd row0.4601770043373108
3rd row0.5458333492279053
4th row0.6610738039016724
5th row0.40712466835975647

Common Values

ValueCountFrequency (%)
0.021978022530674931
20.0%
0.46017700433731081
20.0%
0.54583334922790531
20.0%
0.66107380390167241
20.0%
0.407124668359756471
20.0%

Length

2022-05-22T18:52:03.350739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.405325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.021978022530674931
20.0%
0.46017700433731081
20.0%
0.54583334922790531
20.0%
0.66107380390167241
20.0%
0.407124668359756471
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.371900647878646851e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.02197802253067493
0.19026549160480496
0.31458333134651184
0.6140939593315125
0.10941475629806519

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.02197802253067493
2nd row0.19026549160480496
3rd row0.31458333134651184
4th row0.6140939593315125
5th row0.10941475629806519

Common Values

ValueCountFrequency (%)
0.021978022530674931
20.0%
0.190265491604804961
20.0%
0.314583331346511841
20.0%
0.61409395933151251
20.0%
0.109414756298065191
20.0%

Length

2022-05-22T18:52:03.477741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.533761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.021978022530674931
20.0%
0.190265491604804961
20.0%
0.314583331346511841
20.0%
0.61409395933151251
20.0%
0.109414756298065191
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.785124003887176514e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0293040294200182
0.20353981852531436
0.12708333134651184
0.744966447353363
0.1679389327764511

Length

Max length19
Median length18
Mean length18.2
Min length17

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0293040294200182
2nd row0.20353981852531436
3rd row0.12708333134651184
4th row0.744966447353363
5th row0.1679389327764511

Common Values

ValueCountFrequency (%)
0.02930402942001821
20.0%
0.203539818525314361
20.0%
0.127083331346511841
20.0%
0.7449664473533631
20.0%
0.16793893277645111
20.0%

Length

2022-05-22T18:52:03.611165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.673162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.02930402942001821
20.0%
0.203539818525314361
20.0%
0.127083331346511841
20.0%
0.7449664473533631
20.0%
0.16793893277645111
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.958677664399147034e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.20796459913253784
0.01666666753590107
0.9697986841201782
0.1653943955898285

Length

Max length19
Median length18
Mean length15.4
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.20796459913253784
3rd row0.01666666753590107
4th row0.9697986841201782
5th row0.1653943955898285

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.016666667535901071
20.0%
0.96979868412017821
20.0%
0.16539439558982851
20.0%

Length

2022-05-22T18:52:03.748061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.807553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.016666667535901071
20.0%
0.96979868412017821
20.0%
0.16539439558982851
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.785124003887176514e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.010989011265337467
0.19469027221202848
0.020833333954215046
1.0
0.09414758533239363

Length

Max length20
Median length19
Mean length16.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.010989011265337467
2nd row0.19469027221202848
3rd row0.020833333954215046
4th row1.0
5th row0.09414758533239363

Common Values

ValueCountFrequency (%)
0.0109890112653374671
20.0%
0.194690272212028481
20.0%
0.0208333339542150461
20.0%
1.01
20.0%
0.094147585332393631
20.0%

Length

2022-05-22T18:52:03.883442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:03.941997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0109890112653374671
20.0%
0.194690272212028481
20.0%
0.0208333339542150461
20.0%
1.01
20.0%
0.094147585332393631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.165289342403411865e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0293040294200182
0.20796459913253784
0.02291666716337204
0.8255033493041992
0.05343511328101158

Length

Max length19
Median length19
Mean length18.6
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0293040294200182
2nd row0.20796459913253784
3rd row0.02291666716337204
4th row0.8255033493041992
5th row0.05343511328101158

Common Values

ValueCountFrequency (%)
0.02930402942001821
20.0%
0.207964599132537841
20.0%
0.022916667163372041
20.0%
0.82550334930419921
20.0%
0.053435113281011581
20.0%

Length

2022-05-22T18:52:04.011438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.065005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.02930402942001821
20.0%
0.207964599132537841
20.0%
0.022916667163372041
20.0%
0.82550334930419921
20.0%
0.053435113281011581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.578512325882911682e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.014652014710009098
0.19469027221202848
0.06458333134651184
0.6778523325920105
0.05852417275309563

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.014652014710009098
2nd row0.19469027221202848
3rd row0.06458333134651184
4th row0.6778523325920105
5th row0.05852417275309563

Common Values

ValueCountFrequency (%)
0.0146520147100090981
20.0%
0.194690272212028481
20.0%
0.064583331346511841
20.0%
0.67785233259201051
20.0%
0.058524172753095631
20.0%

Length

2022-05-22T18:52:04.143345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.204874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0146520147100090981
20.0%
0.194690272212028481
20.0%
0.064583331346511841
20.0%
0.67785233259201051
20.0%
0.058524172753095631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.371900647878646851e-02.3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.02197802253067493
0.18584071099758148
0.10208333283662796
0.5335570573806763
0.045801527798175805

Length

Max length20
Median length19
Mean length19
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.02197802253067493
2nd row0.18584071099758148
3rd row0.10208333283662796
4th row0.5335570573806763
5th row0.045801527798175805

Common Values

ValueCountFrequency (%)
0.021978022530674931
20.0%
0.185840710997581481
20.0%
0.102083332836627961
20.0%
0.53355705738067631
20.0%
0.0458015277981758051
20.0%

Length

2022-05-22T18:52:04.281730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.343759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.021978022530674931
20.0%
0.185840710997581481
20.0%
0.102083332836627961
20.0%
0.53355705738067631
20.0%
0.0458015277981758051
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.371900647878646851e-02.4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.04395604506134986
0.19469027221202848
0.12291666865348816
0.30201342701911926
0.0559796430170536

Length

Max length19
Median length19
Mean length18.8
Min length18

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.04395604506134986
2nd row0.19469027221202848
3rd row0.12291666865348816
4th row0.30201342701911926
5th row0.0559796430170536

Common Values

ValueCountFrequency (%)
0.043956045061349861
20.0%
0.194690272212028481
20.0%
0.122916668653488161
20.0%
0.302013427019119261
20.0%
0.05597964301705361
20.0%

Length

2022-05-22T18:52:04.418626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.476162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.043956045061349861
20.0%
0.194690272212028481
20.0%
0.122916668653488161
20.0%
0.302013427019119261
20.0%
0.05597964301705361
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.08791209012269972
0.21238937973976132
0.15833333134651184
0.19463087618350983
0.05343511328101158

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.08791209012269972
2nd row0.21238937973976132
3rd row0.15833333134651184
4th row0.19463087618350983
5th row0.05343511328101158

Common Values

ValueCountFrequency (%)
0.087912090122699721
20.0%
0.212389379739761321
20.0%
0.158333331346511841
20.0%
0.194630876183509831
20.0%
0.053435113281011581
20.0%

Length

2022-05-22T18:52:04.545602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.597682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.087912090122699721
20.0%
0.212389379739761321
20.0%
0.158333331346511841
20.0%
0.194630876183509831
20.0%
0.053435113281011581
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.239669416099786758e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.20796459913253784
0.1770833283662796
0.1845637559890747
0.0559796430170536

Length

Max length19
Median length18
Mean length15.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.20796459913253784
3rd row0.1770833283662796
4th row0.1845637559890747
5th row0.0559796430170536

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.17708332836627961
20.0%
0.18456375598907471
20.0%
0.05597964301705361
20.0%

Length

2022-05-22T18:52:04.676050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.735569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.17708332836627961
20.0%
0.18456375598907471
20.0%
0.05597964301705361
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.880165338516235352e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2168141603469849
0.17291666567325592
0.25167784094810486
0.05852417275309563

Length

Max length19
Median length19
Mean length15.6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.2168141603469849
3rd row0.17291666567325592
4th row0.25167784094810486
5th row0.05852417275309563

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.21681416034698491
20.0%
0.172916665673255921
20.0%
0.251677840948104861
20.0%
0.058524172753095631
20.0%

Length

2022-05-22T18:52:04.810492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:04.869985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.21681416034698491
20.0%
0.172916665673255921
20.0%
0.251677840948104861
20.0%
0.058524172753095631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.818181872367858887e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.20796459913253784
0.17499999701976776
0.24496644735336304
0.05852417275309563

Length

Max length19
Median length19
Mean length15.8
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.20796459913253784
3rd row0.17499999701976776
4th row0.24496644735336304
5th row0.05852417275309563

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.174999997019767761
20.0%
0.244966447353363041
20.0%
0.058524172753095631
20.0%

Length

2022-05-22T18:52:04.946864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.006881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.207964599132537841
20.0%
0.174999997019767761
20.0%
0.244966447353363041
20.0%
0.058524172753095631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

9.752066135406494141e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.22566372156143188
0.16875000298023224
0.24832214415073395
0.05089058354496956

Length

Max length19
Median length19
Mean length15.8
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.22566372156143188
3rd row0.16875000298023224
4th row0.24832214415073395
5th row0.05089058354496956

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.225663721561431881
20.0%
0.168750002980232241
20.0%
0.248322144150733951
20.0%
0.050890583544969561
20.0%

Length

2022-05-22T18:52:05.083761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.143311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.225663721561431881
20.0%
0.168750002980232241
20.0%
0.248322144150733951
20.0%
0.050890583544969561
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.157024502754211426e-01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct5
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2168141603469849
0.16458334028720856
0.22818791866302487
0.05852417275309563

Length

Max length19
Median length19
Mean length15.6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row0.0
2nd row0.2168141603469849
3rd row0.16458334028720856
4th row0.22818791866302487
5th row0.05852417275309563

Common Values

ValueCountFrequency (%)
0.01
20.0%
0.21681416034698491
20.0%
0.164583340287208561
20.0%
0.228187918663024871
20.0%
0.058524172753095631
20.0%

Length

2022-05-22T18:52:05.476621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.534657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
0.21681416034698491
20.0%
0.164583340287208561
20.0%
0.228187918663024871
20.0%
0.058524172753095631
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.132231324911117554e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.23451326787471768
0.25838926434516907
0.06106870248913765

Length

Max length19
Median length19
Mean length12.6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row0.0
2nd row0.23451326787471768
3rd row0.0
4th row0.25838926434516907
5th row0.06106870248913765

Common Values

ValueCountFrequency (%)
0.02
40.0%
0.234513267874717681
20.0%
0.258389264345169071
20.0%
0.061068702489137651
20.0%

Length

2022-05-22T18:52:05.606075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.661122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.02
40.0%
0.234513267874717681
20.0%
0.258389264345169071
20.0%
0.061068702489137651
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1.239669416099786758e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.22566372156143188
0.231543630361557

Length

Max length19
Median length3
Mean length9
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row0.0
2nd row0.22566372156143188
3rd row0.0
4th row0.231543630361557
5th row0.0

Common Values

ValueCountFrequency (%)
0.03
60.0%
0.225663721561431881
 
20.0%
0.2315436303615571
 
20.0%

Length

2022-05-22T18:52:05.729084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.783617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.03
60.0%
0.225663721561431881
 
20.0%
0.2315436303615571
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

8.677686005830764771e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.23451326787471768
0.24832214415073395

Length

Max length19
Median length3
Mean length9.4
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row0.0
2nd row0.23451326787471768
3rd row0.0
4th row0.24832214415073395
5th row0.0

Common Values

ValueCountFrequency (%)
0.03
60.0%
0.234513267874717681
 
20.0%
0.248322144150733951
 
20.0%

Length

2022-05-22T18:52:05.846137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:05.900175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.03
60.0%
0.234513267874717681
 
20.0%
0.248322144150733951
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.611569970846176147e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.23008850216865537
0.23489932715892792

Length

Max length19
Median length3
Mean length9.4
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)40.0%

Sample

1st row0.0
2nd row0.23008850216865537
3rd row0.0
4th row0.23489932715892792
5th row0.0

Common Values

ValueCountFrequency (%)
0.03
60.0%
0.230088502168655371
 
20.0%
0.234899327158927921
 
20.0%

Length

2022-05-22T18:52:05.963691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.018719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.03
60.0%
0.230088502168655371
 
20.0%
0.234899327158927921
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.611569970846176147e-02.2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2651006579399109

Length

Max length18
Median length3
Mean length6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.2651006579399109
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.26510065793991091
 
20.0%

Length

2022-05-22T18:52:06.082236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.137288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.26510065793991091
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

5.165289342403411865e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.25503355264663696

Length

Max length19
Median length3
Mean length6.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.25503355264663696
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.255033552646636961
 
20.0%

Length

2022-05-22T18:52:06.196315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.250351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.255033552646636961
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.925620019435882568e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2718120813369751

Length

Max length18
Median length3
Mean length6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.2718120813369751
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.27181208133697511
 
20.0%

Length

2022-05-22T18:52:06.309899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.364463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.27181208133697511
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.338843002915382385e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2651006579399109

Length

Max length18
Median length3
Mean length6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.2651006579399109
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.26510065793991091
 
20.0%

Length

2022-05-22T18:52:06.423480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.478016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.26510065793991091
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.305784985423088074e-02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.28859061002731323

Length

Max length19
Median length3
Mean length6.2
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.28859061002731323
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.288590610027313231
 
20.0%

Length

2022-05-22T18:52:06.537066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.591626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.288590610027313231
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.132231324911117554e-02.1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0
0.2785235047340393

Length

Max length18
Median length3
Mean length6
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.2785235047340393
5th row0.0

Common Values

ValueCountFrequency (%)
0.04
80.0%
0.27852350473403931
 
20.0%

Length

2022-05-22T18:52:06.650127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.705212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.04
80.0%
0.27852350473403931
 
20.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

3.512396663427352905e-02.3
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:06.755802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.801902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.545454680919647217e-02
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:06.848054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.893692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.132231324911117554e-02.2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:06.938824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:06.992372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.545454680919647217e-02.1
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.041991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.088124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.338843002915382385e-02.2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.136730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.182361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.958677664399147034e-02.2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.227993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.274122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

4.752065986394882202e-02.2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.319265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.364892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.404958665370941162e-02
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.410522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.456150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

6.818182021379470825e-02.3
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.501787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.547913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.594037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.641161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.3
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.686794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.732421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.4
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.778058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.824182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.5
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.870313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:07.916413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.6
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:07.962073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.010158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.7
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.055789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.101945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.8
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.147089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.193705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.9
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.238841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.284970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.10
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.330105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.375709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.11
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.421371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.467469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.12
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.514590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.561710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.13
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.608830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.656473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.14
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.704062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.751678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.15
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.797806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.845918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.16
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.893038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:08.940653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.17
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:08.986782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.034398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.18
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.083502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.130621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.19
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.178236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.225852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.20
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.272973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.320093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.21
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.367213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.414829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.22
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.461949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.509565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.23
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.556684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.604301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.24
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.651421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.698541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.25
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.745163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.792781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.26
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.838909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.887021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.27
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:09.933645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:09.981756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.28
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.028379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.075996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.29
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.124604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.173211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.30
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.219373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.266460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.31
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.313084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.360204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.32
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.407324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.455436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.33
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.833884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.881500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.34
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:10.929116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:10.976236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.35
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.023354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.070502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.36
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.117099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.165735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.37
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.212358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.259975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.38
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.306598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.354210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.39
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.401332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.448454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.40
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.494582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.541673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.41
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.588822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.635418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.42
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.682073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.729190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.43
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.776310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.822934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.44
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.869061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:11.916650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.45
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:11.963304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.010421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.46
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.057051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.103671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.47
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.150265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.200361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.48
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.246519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.294135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.49
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.340757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.387887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.50
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.434970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.482089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.51
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.529706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.577322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.52
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.624442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.674042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.53
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.721657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.768778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.54
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.815898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.864010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.55
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:12.911626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:12.959240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.56
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.007354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.054008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.57
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.101098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.149209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.58
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.196328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.246922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.59
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.295033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.343145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.60
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.389298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.436392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.61
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.482548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.530164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.62
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.577284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.623908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.63
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.671007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.718120image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.64
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.764276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.812360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

0.000000000000000000e+00.65
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size168.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.05
100.0%

Length

2022-05-22T18:52:13.859508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-05-22T18:52:13.910100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Correlations

2022-05-22T18:52:14.239913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-22T18:52:18.155856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-22T18:52:22.004785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-22T18:52:25.819545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-22T18:52:29.518683image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-22T18:51:47.731606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

1.000000000000000000e+007.582644820213317871e-011.115702465176582336e-010.000000000000000000e+008.057851344347000122e-027.851240038871765137e-026.611569970846176147e-024.958677664399147034e-024.752065986394882202e-023.512396663427352905e-023.099173493683338165e-022.892562001943588257e-023.512396663427352905e-02.12.685950323939323425e-023.925620019435882568e-023.512396663427352905e-02.24.338843002915382385e-024.752065986394882202e-02.15.371900647878646851e-025.371900647878646851e-02.17.024793326854705811e-027.231404632329940796e-028.471074700355529785e-029.710744023323059082e-021.219008266925811768e-011.322313994169235229e-011.694214940071105957e-011.962809860706329346e-012.148760259151458740e-012.355371862649917603e-012.541322410106658936e-012.644627988338470459e-012.851239740848541260e-012.727272808551788330e-012.665289342403411865e-012.396694272756576538e-012.148760259151458740e-01.11.735537201166152954e-011.570248007774353027e-011.239669397473335266e-011.219008266925811768e-01.11.074380129575729370e-011.053718999028205872e-019.710744023323059082e-02.11.053718999028205872e-01.19.917355328798294067e-021.053718999028205872e-01.29.917355328798294067e-02.11.074380129575729370e-01.11.074380129575729370e-01.21.157024800777435303e-011.115702465176582336e-01.11.219008266925811768e-01.21.115702465176582336e-01.21.198347136378288269e-011.115702465176582336e-01.31.136363670229911804e-011.115702465176582336e-01.41.219008266925811768e-01.31.053718999028205872e-01.31.074380129575729370e-01.31.012396663427352905e-011.012396663427352905e-01.18.677686005830764771e-029.297520667314529419e-028.471074700355529785e-02.18.264462649822235107e-027.851240038871765137e-02.17.851240038871765137e-02.27.024793326854705811e-02.17.644627988338470459e-026.818182021379470825e-027.851240038871765137e-02.37.024793326854705811e-02.26.818182021379470825e-02.16.818182021379470825e-02.27.438016682863235474e-027.231404632329940796e-02.19.090909361839294434e-021.012396663427352905e-01.21.074380129575729370e-01.41.053718999028205872e-01.41.219008266925811768e-01.41.157024800777435303e-01.11.095041334629058838e-019.710744023323059082e-02.21.033057868480682373e-019.710744023323059082e-02.38.677686005830764771e-02.17.231404632329940796e-02.27.024793326854705811e-02.35.371900647878646851e-02.25.785124003887176514e-024.958677664399147034e-02.15.785124003887176514e-02.15.165289342403411865e-025.578512325882911682e-025.371900647878646851e-02.35.371900647878646851e-02.40.000000000000000000e+00.11.239669416099786758e-021.880165338516235352e-016.818181872367858887e-019.752066135406494141e-016.157024502754211426e-014.132231324911117554e-021.239669416099786758e-02.18.677686005830764771e-02.26.611569970846176147e-02.16.611569970846176147e-02.25.165289342403411865e-02.13.925620019435882568e-02.14.338843002915382385e-02.13.305784985423088074e-024.132231324911117554e-02.13.512396663427352905e-02.34.545454680919647217e-024.132231324911117554e-02.24.545454680919647217e-02.14.338843002915382385e-02.24.958677664399147034e-02.24.752065986394882202e-02.26.404958665370941162e-026.818182021379470825e-02.30.000000000000000000e+00.20.000000000000000000e+00.30.000000000000000000e+00.40.000000000000000000e+00.50.000000000000000000e+00.60.000000000000000000e+00.70.000000000000000000e+00.80.000000000000000000e+00.90.000000000000000000e+00.100.000000000000000000e+00.110.000000000000000000e+00.120.000000000000000000e+00.130.000000000000000000e+00.140.000000000000000000e+00.150.000000000000000000e+00.160.000000000000000000e+00.170.000000000000000000e+00.180.000000000000000000e+00.190.000000000000000000e+00.200.000000000000000000e+00.210.000000000000000000e+00.220.000000000000000000e+00.230.000000000000000000e+00.240.000000000000000000e+00.250.000000000000000000e+00.260.000000000000000000e+00.270.000000000000000000e+00.280.000000000000000000e+00.290.000000000000000000e+00.300.000000000000000000e+00.310.000000000000000000e+00.320.000000000000000000e+00.330.000000000000000000e+00.340.000000000000000000e+00.350.000000000000000000e+00.360.000000000000000000e+00.370.000000000000000000e+00.380.000000000000000000e+00.390.000000000000000000e+00.400.000000000000000000e+00.410.000000000000000000e+00.420.000000000000000000e+00.430.000000000000000000e+00.440.000000000000000000e+00.450.000000000000000000e+00.460.000000000000000000e+00.470.000000000000000000e+00.480.000000000000000000e+00.490.000000000000000000e+00.500.000000000000000000e+00.510.000000000000000000e+00.520.000000000000000000e+00.530.000000000000000000e+00.540.000000000000000000e+00.550.000000000000000000e+00.560.000000000000000000e+00.570.000000000000000000e+00.580.000000000000000000e+00.590.000000000000000000e+00.600.000000000000000000e+00.610.000000000000000000e+00.620.000000000000000000e+00.630.000000000000000000e+00.640.000000000000000000e+00.65
00.9084250.7838830.5311360.3626370.3663000.3443220.3333330.3076920.2967030.3003660.3040290.3369960.3772890.3919410.4395600.4468860.4578750.4798530.5128210.5347990.5860810.5860810.6043960.6337000.6153850.5824180.5641030.5201470.4908420.4908420.4688640.4542120.4505490.4652010.4505490.4322340.4249080.4102560.3919410.3699630.3736260.3663000.3186810.3113550.3260070.3113550.3150180.3223440.3443220.3443220.3333330.3040290.3076920.2820510.2710620.2857140.2637360.2747250.2820510.2673990.2783880.2893770.2930400.2893770.2893770.2893770.2930400.2820510.2673990.2564100.2527470.2161170.2234430.2380950.2161170.2673990.4175820.5824180.6153850.6227110.7619050.8644691.0000000.9084250.6739930.3150180.1538460.1208790.0989010.0439560.0219780.0219780.0293040.0000000.0109890.0293040.0146520.0219780.0439560.0879120.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
10.7300880.2123890.0000000.1194690.1017700.1017700.1106190.1238940.1150440.1327430.1061950.1415930.1283190.1504420.1327430.1504420.1327430.1504420.1238940.1637170.1371680.1415930.1327430.1504420.1283190.1460180.1194690.1238940.1017700.0929200.0707960.0796460.0663720.0707960.0796460.0929200.0884960.0840710.0796460.0884960.0929200.1061950.1061950.1238940.0973450.1238940.1194690.1415930.1327430.1548670.1460180.1681420.1592920.1637170.1681420.1681420.1637170.1814160.1858410.1991150.1769910.2035400.1902650.2035400.1946900.2123890.2035400.2123890.2123890.2256640.2389380.2831860.3053100.3938050.4513270.4336280.3716810.3584070.2743360.2168140.1814160.1858410.1858410.1858410.1946900.2256640.1814160.2256640.6681421.0000000.4601770.1902650.2035400.2079650.1946900.2079650.1946900.1858410.1946900.2123890.2079650.2168140.2079650.2256640.2168140.2345130.2256640.2345130.2300890.0000000.0000000.0000000.0000000.0000000.0000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
21.0000000.9104170.6812500.4729170.2291670.0687500.0000000.0041670.0145830.0541670.1020830.1229170.1500000.1687500.1729170.1708330.1687500.1645830.1562500.1520830.1479170.1479170.1458330.1458330.1416670.1416670.1479170.1583330.1687500.1791670.1916670.2062500.2208330.2395830.2583330.2750000.2875000.3083330.3208330.3312500.3416670.3458330.3520830.3541670.3458330.3458330.3479170.3416670.3416670.3437500.3437500.3416670.3375000.3416670.3604170.3583330.3583330.3520830.3562500.3583330.3437500.3041670.2875000.2708330.2666670.2604170.2625000.2562500.2687500.2604170.2645830.2687500.2708330.2708330.2750000.2729170.2791670.2812500.2812500.2833330.2770830.2604170.3187500.4812500.6145830.7479170.9041670.9708330.9354170.7395830.5458330.3145830.1270830.0166670.0208330.0229170.0645830.1020830.1229170.1583330.1770830.1729170.1750000.1687500.1645830.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
30.5704700.3993290.2382550.1476510.0000000.0033560.0402680.0805370.0704700.0906040.0805370.1040270.0939600.1174500.0973150.1342280.1241610.1610740.1711410.1946310.2046980.2617450.2751680.3322150.3456380.3959730.4060400.4563760.4463090.4463090.3993290.3691280.3087250.2953020.2651010.2718120.2583890.2684560.2617450.2818790.2718120.2986580.2919460.3187920.3120810.3422820.3255030.3456380.3322150.3523490.3355700.3523490.3456380.3657720.3557050.3590600.3489930.3657720.3489930.3859060.3758390.4026850.3926170.4194630.4026850.4093960.3859060.3859060.3489930.3624160.3322150.3557050.3120810.3456380.3187920.3255030.3053690.3120810.3020130.3355700.3120810.3288590.3120810.3322150.3221480.3422820.3590600.4496640.5906040.7214760.6610740.6140940.7449660.9697991.0000000.8255030.6778520.5335570.3020130.1946310.1845640.2516780.2449660.2483220.2281880.2583890.2315440.2483220.2348990.2651010.2550340.2718120.2651010.2885910.2785240.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
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Last rows

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